Mons Barend, Ashburner Michael, Chichester Christine, van Mulligen Erik, Weeber Marc, den Dunnen Johan, van Ommen Gert-Jan, Musen Mark, Cockerill Matthew, Hermjakob Henning, Mons Albert, Packer Abel, Pacheco Roberto, Lewis Suzanna, Berkeley Alfred, Melton William, Barris Nickolas, Wales Jimmy, Meijssen Gerard, Moeller Erik, Roes Peter Jan, Borner Katy, Bairoch Amos
Erasmus Medical Centre, Department of Medical Informatics, Rotterdam, the Netherlands.
Genome Biol. 2008;9(5):R89. doi: 10.1186/gb-2008-9-5-r89. Epub 2008 May 28.
WikiProteins enables community annotation in a Wiki-based system. Extracts of major data sources have been fused into an editable environment that links out to the original sources. Data from community edits create automatic copies of the original data. Semantic technology captures concepts co-occurring in one sentence and thus potential factual statements. In addition, indirect associations between concepts have been calculated. We call on a 'million minds' to annotate a 'million concepts' and to collect facts from the literature with the reward of collaborative knowledge discovery. The system is available for beta testing at http://www.wikiprofessional.org.
WikiProteins支持在基于维基的系统中进行社区注释。主要数据源的提取物已被融合到一个可编辑的环境中，该环境链接到原始数据源。社区编辑产生的数据会自动创建原始数据的副本。语义技术捕捉在同一句子中共同出现的概念，从而得出潜在的事实陈述。此外，还计算了概念之间的间接关联。我们呼吁 “百万头脑” 注释 “百万概念”，并从文献中收集事实，以获得协作式知识发现的回报。该系统可在http://www.wikiprofessional.org上进行测试版试用。
